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Artificial Intelligence for Automated Clinical Data Exploration From Electronic Medical Records (CardioMining-AI)
Sponsor: AHEPA University Hospital
Summary
The purpose of this study is to highlight the usefulness of artificial intelligence and machine learning to develop computer algorithms that will achieve with great reliability, speed and accuracy the automatic extraction and processing of large volumes of raw and unstructured clinical data from electronic medical files.
Official title: The Usefulness of Artificial Intelligence for Automated Extraction and Processing of Clinical Data From Electronic Medical Records (CardioMining-AI)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
60000
Start Date
2022-01-14
Completion Date
2026-03-01
Last Updated
2025-01-29
Healthy Volunteers
No
Locations (9)
University Cardiology Clinic, Democritus University of Thrace
Alexandroupoli, Greece
1st Department of Cardiology, Hippokration General Hospital
Athens, Greece
Department of Cardiology, Heraklion University Hospital
Heraklion, Greece
University General Hospital of Larissa, University of Thessaly
Larissa, Greece
Department of Cardiology, University of Patras Medical School
Pátrai, Greece
1st Cardiology Department, AHEPA University Hospital
Thessaloniki, Greece
3rd Cardiology Department, Hippokration Hospital
Thessaloniki, Greece
Cardiology Department, George Papanikolaou General Hospital
Thessaloniki, Greece
Laboratory of Medical Physics, Aristotle University of Thessaloniki
Thessaloniki, Greece